JP2017018176A - Output device, output method, and output program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an output device, etc. capable of outputting the abnormality of a measurement instrument.SOLUTION: An output device includes a collection section, a specification section, a determination section, and an output section. The collection section collects information including user identification information, instrument identification information for identifying a measurement instrument, a measurement value for each measurement kind measured by the measurement instrument, and the measurement time of the measurement value from the different measurement instruments. The specification section specifies information including the same user identification information and the measurement value of the same measurement kind among the collected pieces of information. The determination section determines whether the time-sequential change of the measurement value included in the specified information differs between the first measurement instrument and the second measurement instrument to be identified based on the device identification information included in the specified information. When the time-sequential change of the measurement value differs between the first measurement instrument and the second measurement instrument, the output section outputs the result.SELECTED DRAWING: Figure 3

Description

  The present invention relates to an output device, an output method, and an output program.

  In recent years, using various measurement devices under various environments, for example, the user's biological information is measured, and the health of the user is managed based on the measurement result. Examples of the measuring device include devices such as a pulsometer that measures a pulse and a sphygmomanometer that measures a blood pressure, and there are various manufacturers, and there are various models even from the same manufacturer. For example, even if the measurement device is assumed to be a pulse meter, a contact-type pulse meter that measures the pulse in contact with the user's human body or a non-contact pulse without contacting the user's human body. There is a non-contact type pulse meter to measure.

JP 2011-133300 A

  For example, if the measurement method is different from the measurement method recommended by the measurement device, the measurement environment is different from the recommended environment, or the measurement device is abnormal, the measurement device The measurement result output may be different from the measurement result that should be output. Even when the same object is measured by different measuring devices, the measurement results may be different. For this reason, even if the measurement result output by the measuring device is not correct, it cannot be detected that it is not correct.

  An object of one aspect is to provide an output device, an output method, and an output program that can output an abnormality of a measurement device.

  The output device according to one aspect includes a collection unit, a specifying unit, a determination unit, and an output unit. The collection unit collects information including user identification information, device identification information for identifying a measurement device, a measurement value for each measurement type measured by the measurement device, and a measurement time of the measurement value from different measurement devices. To do. The determination unit specifies information including the same user identification information and the measurement value of the same measurement type from the collected information. The determination unit determines whether the time-series change of the measurement value included in the specified information differs between the first measurement device and the second measurement device identified by the device identification information included in the specified information. Determine whether. The output unit outputs the result when the time-series change of the measurement value differs between the first measurement device and the second measurement device.

  As one aspect, the abnormality of the measuring device can be output.

FIG. 1 is an explanatory diagram illustrating an example of a measurement system according to the present embodiment. FIG. 2 is an explanatory diagram illustrating an example of a measurement apparatus. FIG. 3 is an explanatory diagram illustrating an example of a server device. FIG. 4 is an explanatory diagram showing an example of the record configuration of the user DB. FIG. 5 is an explanatory diagram showing an example of the record configuration of the information DB. FIG. 6 is an explanatory diagram illustrating an example of a terminal device. FIG. 7 is a flowchart illustrating an example of a processing operation of the server apparatus related to the first output process. FIG. 8 is a flowchart illustrating an example of the processing operation of the server apparatus related to the second output process. FIG. 9 is an explanatory diagram illustrating an example of a computer that executes an output program.

  Hereinafter, embodiments of an output device, an output method, and an output program disclosed in the present application will be described in detail with reference to the drawings. The disclosed technology is not limited by the present embodiment. Moreover, you may combine suitably each Example shown below in the range which does not cause contradiction.

  FIG. 1 is an explanatory diagram illustrating an example of a measurement system 1 according to the present embodiment. A measurement system 1 illustrated in FIG. 1 includes a plurality of measurement devices 2, a server device 3, and a plurality of terminal devices 4. The measuring device 2 is a device that measures biometric information of a user placed at home, an operation site, a workplace, a hospital, or the like. The measuring device 2 is a measuring device such as a sphygmomanometer, a weight scale, a thermometer, an alcohol detector, or a sleep measuring instrument. Note that the measuring device 2 is not limited to a measuring device that measures biological information, but includes various sensors such as a vehicle speed sensor and an engine speed sensor of an in-vehicle drive recorder, and measuring devices such as a GPS (Global Positioning System). There may be. For example, the server device 3 is connected to each measuring device 2 via the Internet 5. Further, the server device 3 collects the measurement results of each measuring device 2 via the Internet 5.

  The terminal device 4 uses an individual or company who is a contractor of the measurement system 1, for example, a user who needs the measurement result of the measurement device 2, the manufacturer who manufactured the measurement device 2, and the measurement result of the measurement device 2. A terminal device such as a computer arranged in a company or the like. The terminal device 4 includes, for example, a terminal device 4A arranged at the manufacturer A and a terminal device 4B arranged at the manufacturer B. The terminal device 4 is communicatively connected to the server device 3 via the Internet 5, for example.

  FIG. 2 is an explanatory diagram illustrating an example of the measuring apparatus 2. 2 includes a measurement unit 11, a radio unit 12, a clock unit 13, a measurement storage unit 14, and a control unit 15. When the measuring device 2 is a pulse meter, the measurement unit 11 is a contact-type pulse meter such as a wristband type that measures the user's pulse by contacting the user's body. The measurement unit 11 may be, for example, a non-contact type pulsometer such as an ear clip type that measures a user's pulse with millimeter waves or microwaves without touching the user's body. When the measuring device 2 is a sphygmomanometer, the measuring unit 11 is a blood pressure measuring unit that measures a user's blood pressure, for example, a contact type or a non-contact type blood pressure. For example, when the measuring device 2 is a scale, the measuring unit 11 is a weight measuring unit that measures the weight of the user, for example, a contact type or a non-contact type. For example, when the measuring device 2 is a thermometer, the measuring unit 11 is a body temperature measuring unit that measures a user's body temperature, for example, a contact method or a non-contact method. For example, when the measuring device 2 is a measuring device that detects alcohol concentration in expiration, the measuring unit 11 is a measuring unit that measures the alcohol concentration in expiration of the user. When the measuring device 2 is a sleep measuring device, the measuring unit 11 is a measuring unit that measures the quality of sleep of the user. For example, when the measurement device 2 is a GPS that measures the current position, the measurement unit 11 is a GPS measurement unit that measures the current position.

  The wireless unit 12 is a communication interface that is connected to the Internet 5 in a wireless manner, for example. In addition, when the wireless device 12 is not built in, the measuring device 2 may have a function of communicating with the Internet 5 using a terminal device such as a smartphone. For example, the clock unit 13 measures the measurement date and time measured by the measurement unit 11. The measurement storage unit 14 is an area for storing a measurement result such as a measurement value for each measurement date and time for each user ID for identifying a user of the measurement apparatus 2.

  The measurement storage unit 14 stores a measurement result including a device ID 14B, a type ID 14C, a measurement date 14D, and a measurement value 14E for each user ID 14A. The user ID 14A is user identification information for identifying the user of the measuring device 2. The device ID 14B is, for example, device identification information that identifies the measurement device 2 for each manufacturer. It is assumed that the device ID 14B is stored in the measurement storage unit 14. The type ID 14C is identification information that identifies a measurement type of the measuring device 2, for example, a data type such as a pulse, blood pressure, or alcohol concentration. The measurement date and time 14 </ b> D is the measurement date and time of the measurement unit 11 measured by the clock unit 13. The measured value 14E is a measured value measured by the measuring unit 11.

  When the measurement value is measured by the measurement unit 11, the control unit 15 measures the device ID 14B, the type ID 14C, the measurement date 14D, and the measurement value 14E of the measurement device 2 for each user ID 14A that identifies the user. The result is stored in the measurement storage unit 14.

  FIG. 3 is an explanatory diagram illustrating an example of the server device 3. The server device 3 illustrated in FIG. 3 includes an input unit 21, a communication unit 22, a storage unit 23, a user DB 24, an information DB 25, and a control unit 26. The server device 3 collects measurement results from each measurement device 2 via the Internet 5.

  The input unit 21 is an input interface for inputting various commands. The communication unit 22 is, for example, a communication interface that communicates with the Internet 5. The storage unit 23 is an area for storing various information such as various programs.

  The user DB 24 is an area for storing user personal information for each user ID 24A for identifying a user. FIG. 4 is an explanatory diagram illustrating an example of a record configuration of the user DB 24. The user DB 24 shown in FIG. 4 is an area for storing personal information in which a user name 24B, a gender 24C, and an age 24D are associated with each other for each user ID 24A. The user ID 24A is identification information for identifying a user, for example. The user name 24B is, for example, the user's first and last name. The sex 24C is, for example, the sex of the user. The age 24D is, for example, the user's age and date of birth. For example, the control unit 26 updates and registers the user ID 24A, the user name 24B, the gender 24C, and the age 24D in the user DB 24 by an input operation from the terminal device 4.

  The information DB 25 is a storage area for storing the measurement result of each measuring device 2 for each user ID 25A for identifying the user. FIG. 5 is an explanatory diagram illustrating an example of a record configuration of the information DB 25. The information DB 25 stores a measurement result in which a device ID 25C, a type ID 25D, and a measurement value 25E are associated with each other for each user ID 25A and measurement date 25B. The user ID 25A is identification information for identifying a user, for example. The measurement date / time 25 </ b> B is a measurement date / time measured by the measurement device 2. The device ID 25C is identification information that identifies the measurement device 2 that is the measurement source. The type ID 25D is identification information that identifies the measurement type of the measurement device 2 that is the measurement source. The measured value 25E is a measured value measured by the measuring device 2 as a measurement source. The type ID 25D shown in FIG. 5 includes “B1” as the blood pressure, “B5” as the pulse, and “B21” as the GPS coordinate position.

  The control unit 26 collects measurement results for each user from each measurement device 2 through the communication unit 22. Then, the control unit 26 measures the user ID, the measurement date / time, the device ID, the type ID, and the measurement value in the collected measurement results such as the user ID 25A, the measurement date / time 25B, the device ID 25C, the type ID 25D, and the measurement value 25E. As a result, it is stored in the information DB 25.

  For example, it is assumed that the measuring device 2A is a sphygmomanometer manufactured by a manufacturer A of contact type arranged at the operation site, and the measuring device 2B is a sphygmomanometer manufactured by B manufacturer of non-contact type arranged at the same operation site. Furthermore, the device ID 25C of the measuring device 2A is “A1”, and the device ID 25C of the measuring device 2B is “A12”. The blood pressure type ID 25D is “B1”.

  The measurement device 2A measures the blood pressure of the user through the measurement unit 11, and measures and stores the measurement result including the user ID “xxxx1”, the device ID “A1”, the type ID “B1”, the measurement value 25E, and the measurement date and time 25B. Store in the unit 14. Then, the measurement device 2A transmits the measurement result stored in the measurement storage unit 14 to the server device 3 through the wireless unit 12 via the Internet 5 at a predetermined timing. The predetermined timing is, for example, a periodic timing every predetermined time, an arrival timing at a predetermined time, a measurement completion timing of a measurement value, or the like.

  The measuring device 2B arranged at the same operation site also measures the blood pressure of the user through the measuring unit 11, and the user ID “xxxx1”, the device ID “A12”, the type ID “B1”, the measured value 25E, and The measurement result including the measurement date and time 25B is stored in the measurement storage unit 14. Then, the measurement device 2B transmits the measurement result stored in the measurement storage unit 14 to the server device 3 through the wireless unit 12 via the Internet 5 at a predetermined timing.

  The control unit 26 in the server device 3 stores each measurement result in the information DB 25 when collecting measurement results from each measurement device 2. Note that the control unit 26 manages the data in the user DB 24 and the information DB 25 by linking them with the user ID 24A (25A).

  Further, for example, when the measurement device 2A is a contact-type pulse meter arranged at the operation site and the measurement device 2B is a non-contact type pulse meter arranged at the same operation site, the device ID 25C of the measurement device 2A is “ The device ID 25C of the measuring apparatus 2B is “A4”. Further, for example, the pulse type ID 25D is set to “B5”.

  The measuring device 2A arranged at the operation site measures the pulse of the user through the measuring unit 11, and the user ID “xxxx1”, the device ID “A3”, the type ID “B5”, the measured value 25E, and the measurement date / time. The measurement result including 25B is stored in the measurement storage unit 14. Then, the measurement device 2A transmits the measurement result stored in the measurement storage unit 14 to the server device 3 through the wireless unit 12 via the Internet 5 at a predetermined timing.

  The measuring device 2B arranged at the same operation site also measures the user's pulse through the measuring unit 11, and the user ID “xxxx1”, the device ID “A4”, the type ID “B5”, the measured value 25B, and The measurement result including the measurement date and time 25E is stored in the measurement storage unit 14. Then, the measurement device 2B transmits the measurement result stored in the measurement storage unit 14 to the server device 3 through the wireless unit 12 via the Internet 5 at a predetermined timing.

  Further, for example, when the measurement device 2A is a GPS of a smartphone arranged at an operation site and the measurement device 2B is a GPS mounted on a vehicle at the same operation site, the device ID 25C of the measurement device 2A is “A21”, the measurement device The device ID 25C of 2B is “A25”. Further, for example, the GPS type ID 25D is set to “B21”.

  In addition, the measuring device 2A arranged at the operation site measures the current position coordinates through the measuring unit 11, and the user ID “xxxx1”, the device ID “A21”, the type ID “B21”, the measured value 25B, and the measurement date and time 25E. Is stored in the measurement storage unit 14. Then, the measurement device 2A transmits the measurement result stored in the measurement storage unit 14 to the server device 3 through the wireless unit 12 via the Internet 5 at a predetermined timing.

  In addition, the measurement device 2B at the same operation site also measures the current position coordinates through the measurement unit 11, and obtains the user ID “xxxx1”, the device ID “A25”, the type ID “B21”, the measurement value 25B, and the measurement date and time 25E. The measurement result including it is stored in the measurement storage unit 14. Then, the measurement device 2B transmits the measurement result stored in the measurement storage unit 14 to the server device 3 through the wireless unit 12 via the Internet 5 at a predetermined timing.

  The control unit 26 reads each program stored in the storage unit 23 and executes each read program to execute each process as a function. The control unit 26 includes a collection unit 26A, a specification unit 26B, a determination unit 26C, and an output unit 26D as functional configurations. The collection unit 26A collects measurement results from each measurement device 2 and stores the collected measurement results in the information DB 25. The specifying unit 26B determines whether or not there are measurement results of the same user ID 25A and the same type ID 25D in the information DB 25 from the collected measurement results. When there are measurement results of the same user ID 25A and the same type ID 25D, the specifying unit 26B specifies the measurement results of the same user ID 25A and the same type ID 25D from the information DB 25. Furthermore, the specifying unit 26B determines whether there is a measurement result having a different device ID 25C among the specified measurement results. When there are determination results with different device IDs 25C, the specifying unit 26B specifies measurement results with different device IDs 25C among the specified measurement results.

  The determination unit 26C generates time-series change data indicating the time-series change of the measurement value for each device ID 25C based on the measurement value 25E and the measurement date / time 25B in the specified measurement result. The time series change data is data indicating the time series change of the measurement value based on the measurement value 25E and the measurement date / time 25B in the measurement result. The measurement date and time of the measurement value to be compared is not limited to the same overlapping period, but is set for each measurement type, that is, for each type ID. The overlapping period is a period in which the measurement date and time of each measured value to be compared are the same. Furthermore, the determination unit 26 </ b> C determines whether or not the time-series change data of the measurement values is different between different measurement devices 2. Note that the determination unit 26C compares, for example, time-series change data of measurement values of the same measurement date and time measured by different measurement devices 2. The determination unit 26C determines whether or not there is a deviation exceeding the error range between the time series change data to be compared, and determines that the time series change data is different when there is a deviation exceeding the error range. An error range for determining that the time-series change data is different is set in advance, and the error range is set for each type ID. The determination unit 26C determines that the time-series change data is not different when there is no deviation exceeding the error range between the time-series change data to be compared.

  Further, the output unit 26D identifies the abnormal measurement device 2 when the time-series change data is different between the different measurement devices 2. As a method for identifying the abnormal measurement device 2, when the time-series change data is different, each measurement value is compared with the reference measurement value, and when the measurement value is greatly different from the reference measurement value, the measurement device for the measurement value is compared. 2 is determined to be abnormal. The reference measurement value is set in advance with a normal measurement value as an initial value. The output unit 26D identifies the abnormal measurement device 2 between the measurement devices 2, and outputs an alarm indicating the abnormality of the measurement device 2 to the terminal device 4 that is a predetermined destination. The alarm includes warning information including measurement results such as abnormality of the measurement device 2 and user ID, device ID, type ID, measurement value, measurement date and time of the measurement device 2 of abnormality. The predetermined destination is the destination information of the terminal device 4 of the contractor of the measurement system 1, for example, the destination information of the terminal device 4 of the user of the measurement device 2 or the terminal device 4 such as the manufacturer of the measurement device 2.

  When the server apparatus 3 specifies the measurement result of the same user ID and the same type ID from the information DB 25 every predetermined period, the time-series change data of the measurement value of the specified measurement result differs between the measurement apparatuses 2. In this case, the abnormal measuring device 2 is identified. The server device 3 outputs an alarm indicating an abnormality of the measuring device 2 to the contractor's terminal device 4. That is, the server device 3 refers to the information DB 25 at predetermined intervals, and identifies the abnormal measurement device 2 when the time series change data of the measurement values of the same user ID and the same type ID are different between the measurement devices 2. Then, a push method of outputting an alarm to the terminal device 4 of a predetermined destination is adopted.

  FIG. 6 is an explanatory diagram illustrating an example of the terminal device 4. The terminal device 4 is a terminal of a contractor of the measurement system 1, for example, a computer or a smartphone arranged at the home of a user of the measurement device 2, a computer of a manufacturer manufacturer of the measurement device 2, or the like.

  The terminal device 4 illustrated in FIG. 6 includes an input unit 31, a communication unit 32, a display unit 33, a storage unit 34, and a control unit 35. The input unit 31 is an input interface for inputting various commands. The communication unit 32 is a communication interface that performs communication connection via the Internet 5, for example. The display unit 33 is an output interface that displays various types of information. The storage unit 34 is an area for storing various information. The control unit 35 controls the terminal device 4 as a whole.

  When receiving an alarm from the server device 3, the control unit 35 in the terminal device 4 displays warning information in the alarm on the screen. As a result, based on the warning information, the user of the terminal device 4 detects the abnormality of the measuring device 2, the user ID of the abnormal measuring device 2, the device ID of the measuring device 2, the type ID of the measuring device 2, and the measuring device 2. And the measurement date and time of the measuring device 2 can be recognized.

  Next, operation | movement of the measurement system 1 of Example 1 is demonstrated. FIG. 7 is a flowchart illustrating an example of processing operation of the server device 3 related to the first output processing. The first output process shown in FIG. 7 is a process for outputting an alarm when the time-series change data of measurement values differ between different measurement devices 2 among the measurement results of the same user ID and the same type ID. .

  In FIG. 7, the specifying unit 26B in the control unit 26 in the server device 3 determines whether or not there are measurement results of the same user ID 25A and the same type ID 25D among the measurement results in the information DB 25 ( Step S11). When there is a measurement result of the same user ID 25A and the same type ID 25D (Yes in step S11), the specifying unit 26B specifies a measurement result of the same user ID 25A and the same type ID 25D from the information DB 25 ( Step S12). For example, the specifying unit 26B specifies the measurement result of the type ID “B1” of the user ID “xxxx1” from the information DB 25.

  The specifying unit 26B determines whether there is a measurement result including a different device ID 25C among the specified measurement results (step S13). When there is a measurement result including a different device ID 25C (Yes at Step S13), the specifying unit 26B specifies a measurement result including a different device ID 25C among the measurement results specified at Step S12 (Step S14). For example, the identification unit 26B identifies the measurement results of the device IDs “A1” and “A12” from the information DB 25 among the measurement results of the type ID “B1” of the user ID “xxxx1”.

  The determination unit 26C in the control unit 26 generates time-series change data for each device ID 25C based on the measurement value 25E and the measurement date / time 25B in the measurement result for each device ID 25C specified in step S14 (step S15). That is, the determination unit 26C generates time-series change data for the device IDs “A1” and “A12” in the measurement result of the type ID “B1” of the user ID “xxxx1”. The determination unit 26C determines whether each time-series change data is different between the measurement devices 2 (step S16). The output unit 26D in the control unit 26 identifies the abnormal measurement device 2 when the time-series change data is different between the measurement devices 2 (Yes in Step S16) (Step S17). After identifying the abnormal measurement device 2 between the measurement devices 2, the output unit 26D outputs an alarm indicating the abnormality of the measurement device 2 to the terminal device 4 of a predetermined destination (step S18), and performs the processing operation shown in FIG. finish. The predetermined destination is, for example, destination information of the terminal device 4 of the manufacturer of the measuring device 2. For example, when the output unit 26D identifies that the measurement device 2A is abnormal, for example, the output unit 26D outputs an alarm to the terminal device 4 of the manufacturer A of the measurement device 2A.

  When there is no measurement result of the same user ID and the same type ID (No at Step S11), or when there is no measurement result of a different device ID (No at Step S13), the specifying unit 26B performs the processing illustrated in FIG. End the operation. If the generated time-series change data is not different between the measuring devices 2 (No at Step S16), the determining unit 26C determines that the measuring device 2 is normal and ends the processing operation illustrated in FIG.

  The server device 3 specifies the measurement results of different device IDs from the measurement results of the same user ID and the same type ID from the information DB 25, and among the specified measurement results, the time series change data is between the measurement devices 2. If they are different, the abnormal measuring device 2 is identified. After identifying the abnormal measurement device 2, the server device 3 outputs an alarm to the predetermined destination terminal device 4. As a result, the user of the terminal device 4 can recognize the abnormality of the measurement device 2 and the device ID, user ID, type ID, measurement value, and measurement date and time of the measurement device 2 according to the alarm.

  When the user of the terminal device 4 is the manufacturer of the measuring device 2, the abnormality of the measuring device 2 can be recognized according to the alarm. When the user of the terminal device 4 is the user of the measuring device 2, the abnormality of the measuring device 2 can be recognized according to the alarm.

  The server device 3 compares the time-series change data of the measurement values at the same date and time of the same type ID of the same user ID. As a result, the server device 3 can identify the abnormality of the measuring device 2 at the same date and time.

  The server device 3 of the first embodiment identifies the abnormal measurement device 2 when the time-series change data is different between the measurement devices 2, and issues an alarm to the terminal device 4 such as the manufacturer of the abnormal measurement device 2. Output. However, when the time-series change data is different between the measuring devices 2, an alarm is output to the terminal device 4 of the manufacturer of each measuring device 2 or the user's terminal device 4 without identifying the abnormal measuring device 2. May be.

  Further, the server device 3 of the first embodiment outputs an alarm including an abnormality of the measurement device 2 and a measurement result when the time-series change data is different from the terminal device 4 of the predetermined destination. The amount of deviation between the measured values may be included in the alarm.

  In the first embodiment, the blood pressure and the pulse are exemplified as the type ID. However, the blood pressure and the pulse are not limited. For example, various biological information such as vital signs such as alcohol concentration, weight, height, and body fat percentage, GPS current position information may be used and can be changed as appropriate. In the case of GPS, when the time-series change data of measurement values differ between different GPS, the server device 3 identifies the abnormal GPS and outputs an alarm to the terminal device 4 of the manufacturer or user of the abnormal GPS.

  The determination unit 26C determines that the time-series change data is different when the deviation exceeding the error range occurs between the time-series change data to be compared. However, an error is generated between the time-series change data without providing an error range. If it occurs, it may be determined that the time-series change data is different.

  The output unit 26D exemplifies the terminal device 4 of the manufacturer who is a contractor or the terminal device 4 of the user as a predetermined destination for outputting an alarm. However, the predetermined destination is not limited to these, and may be, for example, the terminal device 4 of the contractor who desires the measurement result related to the type ID corresponding to the time-series change data. The predetermined destination is the terminal device 4 of the contractor who desires the measurement result related to the device ID corresponding to the time series change data, or the contractor who desires the measurement result related to the user ID corresponding to the time series change data. The terminal device 4 may be used.

  The server device 3 refers to the information DB 25 every predetermined period, and when the time series change data is different between the measurement devices 2 among the measurement results of the same user ID and the same type ID, the abnormal measurement device 2 is selected. A push method is employed in which the alarm is identified and an alarm is output to the terminal device 4 of a predetermined destination. However, the server device 3 refers to the information DB 25 in response to a request from the contractor's terminal device 4. Then, the server device 3 uses a pull method for outputting an alarm to the requesting terminal device 4 when the time series change data is different between the measuring devices 2 among the measurement results of the same user ID and the same type ID. It may be adopted.

  Although the server device 3 compares the time-series change data between the measurement devices 2 on the same date and time, the server device 3 may compare the time-series change data on the measurement values at the same time on different days. Moreover, time series change data of measured values at different dates and times may be compared. Moreover, you may compare the time series change data of the average value of the measured value of the monthly unit of each measuring device 2, and a daily unit.

  The output unit 26D uses the reference comparison value when determining the abnormality of the measuring device 2. For example, when the measuring device 2 is a sphygmomanometer, the measurement value of the user is sequentially updated to measure the average of the user. The value may be updated to a reference comparison value. As a result, it is possible to provide a reference comparison value for determining an abnormality of the measuring device 2 suitable for the user.

  In the first embodiment, time-series change data is generated based on the measurement value 25E and measurement date and time 25B of the same user ID and the same type ID obtained by the two measurement apparatuses 2, and the time-series change data is the measurement apparatus 2 When the measurement device 2 is different, the abnormal measurement device 2 is identified, and an alarm indicating the abnormality of the measurement device 2 is output. However, it is not limited to two measuring devices. For example, the server device 3 generates three or more pieces of time-series change data based on the measured values 25E and the measurement dates and times 25B of the same user ID and the same type ID obtained by three or more measuring devices 2. Further, the server device 3 may identify the abnormal measurement device 2 when the generated three or more time-series change data are different between the measurement devices 2 and output an alarm indicating the abnormality of the measurement device 2.

  In the first embodiment, among the measurement results of the same user ID and the same type ID, when the time-series change data of the measurement values are different between the measurement devices 2, the abnormal measurement device 2 is identified, and the abnormality of the measurement device 2 is detected. An alarm indicating is output. However, the measurement result of the type ID of the search condition contracted for each contractor may be specified from the information DB 25, and the specified measurement result may be output to the contractor's terminal device 4.

  The server device 3 identifies the measurement result of the same user ID and the same type ID from the information DB 25, identifies the measurement result of the different device ID from the identified measurement result, and the measurement date and time in the identified measurement result and Time series change data was generated based on the measured values. However, regardless of the user ID, the server device 3 specifies, for example, a measurement result of a specific type ID from the information DB 25, specifies a measurement result of a different device ID from the specified measurement result, and uses the specified measurement result. Based on this, time-series change data may be generated and output. Therefore, the method for specifying the measurement result can be changed as appropriate.

  In the said Example 1, it is not limited to the measuring apparatus 2 which measures biometric information as the measuring apparatus 2, For example, it can apply also to the measuring apparatus which measures temperature etc. In this case, when the user ID is a place ID indicating the placement location of the measuring device, the type ID is the temperature, the device ID is a temperature measuring device, and a plurality of temperature measuring devices are placed at the same place, the server device 3 It is determined whether the time-series change data of the temperature measuring device is different. Further, the server device 3 identifies an abnormal temperature measurement device when the time-series change data is different, and outputs an alarm indicating the abnormality of the temperature measurement device to the terminal device 4 of the manufacturer of the abnormal temperature measurement device.

  In the measurement system 1 of the first embodiment, devices such as the server device 3 and the terminal device 4 can be connected to each other via the Internet 5. However, instead of the Internet 5, for example, a LAN (Local Area Network) or the like may be used and can be changed as appropriate.

  In the first embodiment, the server device 3 is a computer and the terminal device 4 is a user's computer. However, various functions and information of the server device 3 and the terminal device 4 may be realized by cloud computing.

  In the first embodiment, the search condition is the same user ID and the same type ID from the information DB 25. However, in addition to the same user ID and the same type ID, a specified time range may be specified as a search condition. The embodiment in this case will be described below as Example 2.

  The control unit 26 in the server device 3 stores the specified time range in the storage unit 23 as a search condition. The specified time range can be changed as appropriate by an input operation from the input unit 21 or an input operation from the terminal device 4.

  The specifying unit 26B specifies measurement results of the same user ID and the same type ID from the information DB 25, and specifies measurement results including different device IDs among the specified measurement results. Furthermore, the specifying unit 26B specifies, from the information DB 25, measurement results whose measurement date and time are within the specified time range among measurement results including different device IDs.

  The determination unit 26C compares the time-series change data of the measurement values among the measurement results having the specified measurement date and time within the specified time range, and determines whether or not the time-series change data is different. The output unit 26D identifies the abnormal measurement device 2 when the time-series change data is different, and outputs an alarm to the predetermined destination terminal device 4.

  FIG. 8 is a flowchart illustrating an example of a processing operation of the server apparatus 3 related to the second output process according to the second embodiment. The second output process shown in FIG. 8 is a process of outputting an alarm when the same user ID and the same type ID and the measurement date and time are different in the time-series change data among the measurement results in the specified time range. is there.

  In FIG. 8, the specifying unit 26B in the control unit 26 in the server device 3 determines whether there are measurement results of the same user ID 25A and the same type ID 25D among the measurement results in the information DB 25 ( Step S21). When there is a measurement result of the same user ID 25A and the same type ID 25D (Yes in step S21), the specifying unit 26B specifies a measurement result of the same user ID 25A and the same type ID 25D from the information DB 25 ( Step S22).

  The specifying unit 26B determines whether there is a measurement result including a different device ID 25C among the specified measurement results (step S23). When there is a measurement result including a different device ID 25C (Yes at Step S23), the specifying unit 26B specifies a measurement result including a different device ID 25C among the measurement results specified at Step S22 (Step S24). For example, the identification unit 26B identifies the measurement results of the device IDs “A1” and “A12” from the information DB 25 among the measurement results of the type ID “B1” of the user ID “xxxx1”.

  The specifying unit 26B determines whether or not there is a measurement date and time 25B in the specified time range in the specified measurement result (step S25). When there is a measurement date and time 25B in the specified time range in the specified measurement result (Yes in step S25), the specifying unit 26B specifies a measurement result including the measurement date and time 25B in the specified time range from the specified measurement result (step S26). ).

  The determination unit 26C generates time-series change data for each device ID 25C based on the measurement value 25E and the measurement date / time 25B in the measurement result for each device ID 25C specified in step S26 (step S27). That is, the determination unit 26C generates time-series change data for the device IDs “A1” and “A12” in the measurement result of the type ID “B1” of the user ID “xxxx1”. The determination unit 26C determines whether or not the generated time series change data is different between the measurement devices 2 (step S28). When the time-series change data is different between the measuring devices 2 (Yes at Step S28), the output unit 26D identifies the abnormal measuring device 2 (Step S29). Furthermore, after identifying the abnormal measurement device 2, the output unit 26D outputs an alarm indicating the abnormality of the measurement device 2 to the predetermined destination terminal device 4 (step S30), and ends the processing operation shown in FIG.

  When there is no measurement result of the same user ID and the same type ID (No at Step S21), or when there is no measurement result of a different device ID (No at Step S23), the specifying unit 26B performs the processing illustrated in FIG. End the operation. Moreover, the determination part 26C will complete | finish the processing operation shown in FIG. 8, when there is no measurement date 25B of the designated time range in the specified measurement result (step S25 negative). When the time-series change data does not differ between the measuring devices 2 (No at Step S28), the output unit 26D determines that the measuring device 2 is normal, and ends the processing operation illustrated in FIG.

  The control unit 26 specifies measurement results of different device IDs from the measurement results in the specified time range with the same user ID and the same type ID from the information DB 25. Further, the control unit 26 identifies the abnormal measurement device 2 when the time-series change data among the specified measurement results is different between the measurement devices 2, and outputs an alarm indicating the abnormality of the measurement device 2. As a result, the server device 3 can specify the measurement result whose measurement date and time is in the designated time range from the measurement result of the same user ID and the same type ID. Then, the user of the terminal device 4 makes an abnormality in the measurement device 2 at the measurement date and time in the designated time range between the measurement devices 2 being used in response to the alarm, the device ID of the measurement device 2 related to the abnormality, the user ID, The type ID, measurement value, and measurement date / time can be recognized.

  In addition, each component of each part illustrated does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each part is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed / integrated in arbitrary units according to various loads and usage conditions. Can be configured.

  Furthermore, various processing functions performed by each computer constituting the server device 3 and the terminal device 4 are a CPU (Central Processing Unit) (or a micro computer such as an MPU (Micro Processing Unit) or MCU (Micro Controller Unit)). In the above, all or any part thereof may be executed. Various processing functions may be executed entirely or arbitrarily on a program that is analyzed and executed by a CPU (or a microcomputer such as an MPU or MCU) or hardware based on wired logic. Needless to say.

  By the way, the various processes described in the present embodiment can be realized by executing a prepared program on a computer. Therefore, in the following, an example of a computer that executes a program having the same function as the above embodiment will be described. FIG. 9 is an explanatory diagram illustrating an example of a computer 100 that executes an output program.

  In FIG. 9, the computer 100 that executes the output program includes a communication interface 110, an HDD 120, a ROM 130, a RAM 140, a CPU 150, and a bus 160.

  The ROM 130 stores in advance an output program that exhibits the same function as in the above embodiment. Note that the processing program may be recorded on a recording medium readable by a drive (not shown) instead of the ROM 130. Further, as the recording medium, for example, a portable recording medium such as a CD-ROM, a DVD disk, a USB memory, an SD card, or a semiconductor memory such as an HDD or a flash memory may be used. The processing programs are a collection program 130A, a specific program 130B, a determination program 130C, and an output program 130D. Note that the collection program 130A, the specific program 130B, the determination program 130C, and the output program 130D may be appropriately integrated or distributed.

  Then, the CPU 150 reads the collection program 130A, the specific program 130B, the determination program 130C, and the output program 130D from the ROM 130, and executes the read programs. Then, the CPU 150 causes the programs 130A to 130D to function on the RAM 140 as a collection process 140A, a specific process 140B, a determination process 140C, and an output process 140D.

  The CPU 150 collects information including user identification information, device identification information for identifying the measurement device, measurement values for each measurement type measured by the measurement device, and measurement time of the measurement values from different measurement devices. . The CPU 150 identifies information including the same user identification information and measurement values of the same measurement type from the collected information. The CPU 150 determines whether or not the temporal change in the measurement value included in the specified information is different between the first measurement device and the second measurement device identified by the device identification information included in the specified information. judge. CPU150 outputs the determination result, when the temporal change of a measured value differs between the 1st measuring device and the 2nd measuring device. As a result, the abnormality of the measuring device can be output.

1 Measurement System 2 Measurement Device 3 Server Device 4 Terminal Device 25 Information DB
26A Collection unit 26B Identification unit 26C Determination unit 26D Output unit

Claims (9)

A collection unit for collecting information including user identification information, device identification information for identifying a measurement device, a measurement value for each measurement type measured by the measurement device, and a measurement time of the measurement value from different measurement devices; ,
A identifying unit that identifies information including the same user identification information and the measurement value of the same measurement type from the collected information;
It is determined whether the time-series change of the measurement value included in the specified information is different between the first measurement device and the second measurement device identified by the device identification information included in the specified information. A determination unit;
An output device comprising: an output unit that outputs a result when the time-series change of the measurement value differs between the first measurement device and the second measurement device. The time series change is
The output device according to claim 1, wherein the output time is a temporal change within a period in which the measurement times overlap, or a temporal change within a period of different daily or monthly units. The output unit is
The output apparatus according to claim 1, wherein the result is transmitted to a transmission destination corresponding to the first measurement apparatus or transmitted to the access source in response to a request from the access source. The output unit is
The information indicating that the measured value measured by the first measuring device is different from the measured value measured by the second measuring device among the specified information is output. Output device. The output unit is
The information indicating the amount of deviation between the measured value measured by the first measuring device and the measured value measured by the second measuring device among the specified information is output. Output device. A collection unit for collecting information including user identification information, device identification information for identifying a measurement device, a measurement value for each measurement type measured by the measurement device, and a measurement time of the measurement value from different measurement devices; ,
A specific unit that identifies information including the same user identification information, the measurement value of the same measurement type, and the measurement time within the specified time range from the collected information;
It is determined whether the time-series change of the measurement value included in the specified information is different between the first measurement device and the second measurement device identified by the device identification information included in the specified information. A determination unit;
An output device comprising: an output unit that outputs a result when the time-series change of the measurement value differs between the first measurement device and the second measurement device. A collection unit that collects information including user identification information, device identification information for identifying a measurement device, a measurement value for each measurement type measured by the measurement device, and a measurement time of the measurement value from different measurement devices;
A identifying unit that identifies information including the same user identification information and the measurement value of the same measurement type from the collected information;
Between at least the first measurement device, the second measurement device, and the third measurement device, wherein the time-series change of the measurement value included in the specified information is identified by the device identification information included in the specified information. A determination unit for determining whether or not different from each other;
An output unit for outputting a result when the time-series change of the measurement value differs between the first measurement device, the second measurement device, and the third measurement device; Output device. User identification information, device identification information for identifying a measurement device, measurement values for each measurement type measured by the measurement device, and information including the measurement time of the measurement value are collected from different measurement devices,
From the collected information, specify the information including the same user identification information and the measurement value of the same measurement type,
Whether the temporal change in the measurement value included in the specified information is different between the first measurement device and the second measurement device identified by the device identification information included in the specified information. Judgment,
An output method comprising: executing a process of outputting a determination result when a temporal change in the measurement value differs between the first measurement device and the second measurement device. On the computer,
User identification information, device identification information for identifying a measurement device, measurement values for each measurement type measured by the measurement device, and information including the measurement time of the measurement value are collected from different measurement devices,
From the collected information, specify the information including the same user identification information and the measurement value of the same measurement type,
Whether the temporal change in the measurement value included in the specified information is different between the first measurement device and the second measurement device identified by the device identification information included in the specified information. Judgment,
An output program for executing a process of outputting a determination result when a temporal change of the measurement value differs between the first measurement device and the second measurement device.

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